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An introduction to latent class analysis : methods and applications / / Nobuoki Eshima
| An introduction to latent class analysis : methods and applications / / Nobuoki Eshima |
| Autore | Eshima Nobuoki |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina | 150.1943 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Human behavior - Research
Human behavior - Philosophy Variables aleatòries Conducta (Psicologia) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811909726
9789811909719 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- References -- Acknowledgements -- Contents -- 1 Overview of Basic Latent Structure Models -- 1.1 Introduction -- 1.2 Latent Class Model -- 1.3 Latent Trait Model -- 1.4 Latent Profile Model -- 1.5 Factor Analysis Model -- 1.6 Latent Structure Models in a Generalized Linear Model Framework -- 1.7 The EM Algorithm and Latent Structure Models -- 1.8 Discussion -- References -- 2 Latent Class Cluster Analysis -- 2.1 Introduction -- 2.2 The ML Estimation of Parameters in the Latent Class Model -- 2.3 Examples -- 2.4 Measuring Goodness-of-Fit of Latent Class Models -- 2.5 Comparison of Latent Classes -- 2.6 Latent Profile Analysis -- 2.7 Discussion -- References -- 3 Latent Class Analysis with Ordered Latent Classes -- 3.1 Introduction -- 3.2 Latent Distance Analysis -- 3.3 Assessment of the Latent Guttman Scaling -- 3.4 Analysis of the Association Between Two Latent Traits with Latent Guttman Scaling -- 3.5 Latent Ordered-Class Analysis -- 3.6 The Latent Trait Model (Item Response Model) -- 3.7 Discussion -- References -- 4 Latent Class Analysis with Latent Binary Variables: An Application for Analyzing Learning Structures -- 4.1 Introduction -- 4.2 Latent Class Model for Scaling Skill Acquisition Patterns -- 4.3 ML Estimation Procedure for Model (4.3) with (4.4) -- 4.4 Numerical Examples (Exploratory Analysis) -- 4.5 Dynamic Interpretation of Learning (Skill Acquisition) Structures -- 4.6 Estimation of Mixed Proportions of Learning Processes -- 4.7 Solution of the Separating Equations -- 4.8 Path Analysis in Learning Structures -- 4.9 Numerical Illustration (Confirmatory Analysis) -- 4.10 A Method for Ordering Skill Acquisition Patterns -- 4.11 Discussion -- References -- 5 The Latent Markov Chain Model -- 5.1 Introduction -- 5.2 The Latent Markov Chain Model -- 5.3 The ML Estimation of the Latent Markov Chain Model.
5.4 A Property of the ML Estimation Procedure via the EM Algorithm -- 5.5 Numerical Example I -- 5.6 Numerical Example II -- 5.7 A Latent Markov Chain Model with Missing Manifest Observations -- 5.8 A General Version of the Latent Markov Chain Model with Missing Manifest Observations -- 5.9 The Latent Markov Process Model -- 5.10 Discussion -- References -- 6 The Mixed Latent Markov Chain Model -- 6.1 Introduction -- 6.2 Dynamic Latent Class Models -- 6.3 The ML Estimation of the Parameters of Dynamic Latent Class Models -- 6.4 A Numerical Illustration -- 6.5 Discussion -- References -- 7 Path Analysis in Latent Class Models -- 7.1 Introduction -- 7.2 A Multiple-Indicator, Multiple-Cause Model -- 7.3 An Entropy-Based Path Analysis of Categorical Variables -- 7.4 Path Analysis in Multiple-Indicator, Multiple-Cause Models -- 7.4.1 The Multiple-Indicator, Multiple-Cause Model in Fig. 7.2a -- 7.4.2 The Multiple-Indicator, Multiple-Cause Model in Fig. 7.2b -- 7.5 Numerical Illustration I -- 7.5.1 Model I (Fig. 7.2a) -- 7.5.2 Model II (Fig. 7.2b) -- 7.6 Path Analysis of the Latent Markov Chain Model -- 7.7 Numerical Illustration II -- 7.8 Discussion -- References. |
| Record Nr. | UNISA-996472039103316 |
Eshima Nobuoki
|
||
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
An introduction to latent class analysis : methods and applications / / Nobuoki Eshima
| An introduction to latent class analysis : methods and applications / / Nobuoki Eshima |
| Autore | Eshima Nobuoki |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina | 150.1943 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Human behavior - Research
Human behavior - Philosophy Variables aleatòries Conducta (Psicologia) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811909726
9789811909719 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- References -- Acknowledgements -- Contents -- 1 Overview of Basic Latent Structure Models -- 1.1 Introduction -- 1.2 Latent Class Model -- 1.3 Latent Trait Model -- 1.4 Latent Profile Model -- 1.5 Factor Analysis Model -- 1.6 Latent Structure Models in a Generalized Linear Model Framework -- 1.7 The EM Algorithm and Latent Structure Models -- 1.8 Discussion -- References -- 2 Latent Class Cluster Analysis -- 2.1 Introduction -- 2.2 The ML Estimation of Parameters in the Latent Class Model -- 2.3 Examples -- 2.4 Measuring Goodness-of-Fit of Latent Class Models -- 2.5 Comparison of Latent Classes -- 2.6 Latent Profile Analysis -- 2.7 Discussion -- References -- 3 Latent Class Analysis with Ordered Latent Classes -- 3.1 Introduction -- 3.2 Latent Distance Analysis -- 3.3 Assessment of the Latent Guttman Scaling -- 3.4 Analysis of the Association Between Two Latent Traits with Latent Guttman Scaling -- 3.5 Latent Ordered-Class Analysis -- 3.6 The Latent Trait Model (Item Response Model) -- 3.7 Discussion -- References -- 4 Latent Class Analysis with Latent Binary Variables: An Application for Analyzing Learning Structures -- 4.1 Introduction -- 4.2 Latent Class Model for Scaling Skill Acquisition Patterns -- 4.3 ML Estimation Procedure for Model (4.3) with (4.4) -- 4.4 Numerical Examples (Exploratory Analysis) -- 4.5 Dynamic Interpretation of Learning (Skill Acquisition) Structures -- 4.6 Estimation of Mixed Proportions of Learning Processes -- 4.7 Solution of the Separating Equations -- 4.8 Path Analysis in Learning Structures -- 4.9 Numerical Illustration (Confirmatory Analysis) -- 4.10 A Method for Ordering Skill Acquisition Patterns -- 4.11 Discussion -- References -- 5 The Latent Markov Chain Model -- 5.1 Introduction -- 5.2 The Latent Markov Chain Model -- 5.3 The ML Estimation of the Latent Markov Chain Model.
5.4 A Property of the ML Estimation Procedure via the EM Algorithm -- 5.5 Numerical Example I -- 5.6 Numerical Example II -- 5.7 A Latent Markov Chain Model with Missing Manifest Observations -- 5.8 A General Version of the Latent Markov Chain Model with Missing Manifest Observations -- 5.9 The Latent Markov Process Model -- 5.10 Discussion -- References -- 6 The Mixed Latent Markov Chain Model -- 6.1 Introduction -- 6.2 Dynamic Latent Class Models -- 6.3 The ML Estimation of the Parameters of Dynamic Latent Class Models -- 6.4 A Numerical Illustration -- 6.5 Discussion -- References -- 7 Path Analysis in Latent Class Models -- 7.1 Introduction -- 7.2 A Multiple-Indicator, Multiple-Cause Model -- 7.3 An Entropy-Based Path Analysis of Categorical Variables -- 7.4 Path Analysis in Multiple-Indicator, Multiple-Cause Models -- 7.4.1 The Multiple-Indicator, Multiple-Cause Model in Fig. 7.2a -- 7.4.2 The Multiple-Indicator, Multiple-Cause Model in Fig. 7.2b -- 7.5 Numerical Illustration I -- 7.5.1 Model I (Fig. 7.2a) -- 7.5.2 Model II (Fig. 7.2b) -- 7.6 Path Analysis of the Latent Markov Chain Model -- 7.7 Numerical Illustration II -- 7.8 Discussion -- References. |
| Record Nr. | UNINA-9910559397503321 |
|
Eshima Nobuoki
|
||
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical Data Analysis and Entropy [[electronic resource] /] / by Nobuoki Eshima
| Statistical Data Analysis and Entropy [[electronic resource] /] / by Nobuoki Eshima |
| Autore | Eshima Nobuoki |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 257 p. 43 illus.) |
| Disciplina | 519.5 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistical Theory and Methods Statistics for Social Sciences, Humanities, Law Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN | 981-15-2552-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Entropy and basic statistics -- Analysis of the association in two-way contingency tables -- Analysis of the association in multiway contingency tables -- Analysis of continuous variables. |
| Record Nr. | UNISA-996418255603316 |
|
Eshima Nobuoki
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Statistical Data Analysis and Entropy / / by Nobuoki Eshima
| Statistical Data Analysis and Entropy / / by Nobuoki Eshima |
| Autore | Eshima Nobuoki |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 257 p. 43 illus.) |
| Disciplina | 519.5 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Social sciences - Statistical methods Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistical Theory and Methods Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics in Business, Management, Economics, Finance, Insurance |
| ISBN | 981-15-2552-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Entropy and basic statistics -- Analysis of the association in two-way contingency tables -- Analysis of the association in multiway contingency tables -- Analysis of continuous variables. |
| Record Nr. | UNINA-9910483487703321 |
|
Eshima Nobuoki
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||